International business machines corporation (20240096191). CORROBORATING DEVICE-DETECTED ANOMALOUS BEHAVIOR simplified abstract
Contents
- 1 CORROBORATING DEVICE-DETECTED ANOMALOUS BEHAVIOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CORROBORATING DEVICE-DETECTED ANOMALOUS BEHAVIOR - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
CORROBORATING DEVICE-DETECTED ANOMALOUS BEHAVIOR
Organization Name
international business machines corporation
Inventor(s)
Kevin W. Brew of Niskayuna NY (US)
Michael S. Gordon of Chappaqua NY (US)
Mattias Fitzpatrick of Mount Kisco NY (US)
Brian Paul Gaucher of Brookfield NY (US)
CORROBORATING DEVICE-DETECTED ANOMALOUS BEHAVIOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240096191 titled 'CORROBORATING DEVICE-DETECTED ANOMALOUS BEHAVIOR
Simplified Explanation
The patent application describes techniques for corroborating anomalous behavior in a physical environment using devices in an IoT mesh network.
- Devices in an IoT mesh network are trained to independently identify occurrences of anomalous behavior.
- Event data from devices in the network is collected and analyzed to detect anomalous behavior.
- The system corroborates the anomalous behavior to determine if it meets a reporting threshold for notification.
- Notifications are generated regarding the anomalous event.
Potential Applications
This technology could be applied in various industries such as security, healthcare, and manufacturing to detect and respond to anomalous behavior in real-time.
Problems Solved
This technology helps in early detection of anomalous behavior, which can prevent potential security breaches, safety hazards, or equipment failures.
Benefits
The system provides proactive monitoring and alerts for anomalous events, improving overall safety and security in various environments.
Potential Commercial Applications
Potential commercial applications include security systems, smart buildings, industrial automation, and healthcare monitoring.
Possible Prior Art
Prior art may include existing systems for anomaly detection in IoT networks or physical environments, but the specific techniques described in this patent application may be novel.
Unanswered Questions
=== How does the system ensure data privacy and security when collecting and analyzing event data from IoT devices? The patent application does not provide details on the data privacy and security measures implemented in the system to protect sensitive information.
=== What is the scalability of the system in terms of handling a large number of devices and data streams in an IoT mesh network? The patent application does not address the scalability of the system and how it can efficiently manage a growing network of devices and data streams.
Original Abstract Submitted
described are techniques for corroborating anomalous behavior. the techniques include training devices included in an internet of things (iot) mesh network to independently identify occurrences of anomalous behavior in a proximate physical environment. the techniques further include receiving event data from at least a portion of the devices in the iot mesh network corresponding to a time window, where the event data reports occurrences of at least one type of anomalous behavior. the techniques further include corroborating the at least one type of anomalous behavior to determine that the occurrences of the at least one type of anomalous behavior indicate an anomalous event that meets a reporting threshold for providing notice of the anomalous event. the techniques further include generating a notification regarding the anomalous event.
